explain.depesz.com

PostgreSQL's explain analyze made readable

Result: SBv

Settings
# exclusive inclusive rows x rows loops node
1. 2.529 225.376 ↓ 821.0 821 1

Sort (cost=1,567.16..1,567.16 rows=1 width=714) (actual time=225.344..225.376 rows=821 loops=1)

  • Sort Key: t4.open DESC, t4.term_score DESC, t4.merchant_short_id
  • Sort Method: quicksort Memory: 834kB
2. 0.145 222.847 ↓ 821.0 821 1

Subquery Scan on t4 (cost=1,566.92..1,567.15 rows=1 width=714) (actual time=222.160..222.847 rows=821 loops=1)

  • Filter: (t4.catalog_items_rn <= 100)
  • Rows Removed by Filter: 36
3. 0.502 222.702 ↓ 857.0 857 1

WindowAgg (cost=1,566.92..1,567.04 rows=1 width=758) (actual time=222.158..222.702 rows=857 loops=1)

4. 0.816 222.200 ↓ 857.0 857 1

Sort (cost=1,566.92..1,566.93 rows=1 width=616) (actual time=222.153..222.200 rows=857 loops=1)

  • Sort Key: t2.merchant_id, (NULLIF((ts_rank_cd(catalog_item.fts, q.tsquery))::double precision, '0'::double precision))
  • Sort Method: quicksort Memory: 851kB
5. 1.254 221.384 ↓ 857.0 857 1

Nested Loop (cost=764.16..1,566.91 rows=1 width=616) (actual time=123.325..221.384 rows=857 loops=1)

6. 0.003 0.003 ↑ 1.0 1 1

Function Scan on q (cost=0.00..0.10 rows=1 width=32) (actual time=0.002..0.003 rows=1 loops=1)

7. 0.483 220.127 ↓ 122.4 857 1

Nested Loop (cost=764.16..1,566.11 rows=7 width=737) (actual time=123.316..220.127 rows=857 loops=1)

8. 0.038 120.836 ↓ 15.3 276 1

Subquery Scan on t2 (cost=720.16..732.98 rows=18 width=445) (actual time=120.290..120.836 rows=276 loops=1)

  • Filter: (t2.group_rn <= 1)
  • Rows Removed by Filter: 6
9. 0.465 120.798 ↓ 5.2 282 1

WindowAgg (cost=720.16..727.45 rows=54 width=502) (actual time=120.289..120.798 rows=282 loops=1)

10. 0.764 120.333 ↓ 5.2 282 1

Sort (cost=720.16..720.29 rows=54 width=429) (actual time=120.280..120.333 rows=282 loops=1)

  • Sort Key: merc.group_id, (COALESCE((true), false)) DESC, d.distance, t.delivery_fee, (((merc.evaluations #>> '{IFOOD,avg}'::text[]))::real) DESC, merc.merchant_short_id
  • Sort Method: quicksort Memory: 219kB
11. 0.448 119.569 ↓ 5.2 282 1

Nested Loop (cost=119.49..718.60 rows=54 width=429) (actual time=111.192..119.569 rows=282 loops=1)

12. 0.810 117.429 ↓ 5.2 282 1

Nested Loop Left Join (cost=119.23..707.14 rows=54 width=602) (actual time=110.995..117.429 rows=282 loops=1)

  • Filter: COALESCE((true), false)
  • Rows Removed by Filter: 326
13. 0.689 114.187 ↓ 5.6 608 1

Nested Loop (cost=118.79..606.79 rows=108 width=601) (actual time=110.958..114.187 rows=608 loops=1)

14. 0.128 111.347 ↓ 6.6 717 1

Subquery Scan on t (cost=118.38..130.09 rows=108 width=30) (actual time=110.943..111.347 rows=717 loops=1)

  • Filter: (t.mode <> 'EXCLUSION'::delivery_mode)
  • Rows Removed by Filter: 19
15. 0.164 111.219 ↓ 6.8 736 1

Unique (cost=118.38..118.92 rows=109 width=46) (actual time=110.942..111.219 rows=736 loops=1)

16. 0.424 111.055 ↓ 6.8 746 1

Sort (cost=118.38..118.65 rows=109 width=46) (actual time=110.941..111.055 rows=746 loops=1)

  • Sort Key: dels.owner_id, ((dels.mode <> 'EXCLUSION'::delivery_mode)), dels.zipcode COLLATE "C", dels.priority
  • Sort Method: quicksort Memory: 83kB
17. 0.403 110.631 ↓ 6.8 746 1

Nested Loop (cost=0.98..114.69 rows=109 width=46) (actual time=0.830..110.631 rows=746 loops=1)

18. 107.592 107.592 ↓ 659.0 659 1

Index Scan using polygons_geom_idx on polygons pol (cost=0.55..4.90 rows=1 width=16) (actual time=0.818..107.592 rows=659 loops=1)

  • Index Cond: (geom && '0101000020E61000008EDF2582828647C06D945055FCDA36C0'::geometry)
  • Filter: _st_intersects(geom, '0101000020E61000008EDF2582828647C06D945055FCDA36C0'::geometry)
  • Rows Removed by Filter: 226
19. 2.636 2.636 ↑ 110.0 1 659

Index Scan using deliveries_pol_id_idx on deliveries dels (cost=0.43..98.51 rows=110 width=61) (actual time=0.004..0.004 rows=1 loops=659)

  • Index Cond: (pol_id = pol.pol_id)
20. 2.151 2.151 ↑ 1.0 1 717

Index Scan using merchants_pkey on merchants merc (cost=0.42..4.41 rows=1 width=587) (actual time=0.003..0.003 rows=1 loops=717)

  • Index Cond: (merchant_id = t.owner_id)
21. 2.432 2.432 ↓ 0.0 0 608

Index Only Scan using merchant_shifts_pkey on merchant_shifts shift (cost=0.43..0.83 rows=1 width=31) (actual time=0.004..0.004 rows=0 loops=608)

  • Index Cond: ((merchant_short_id = merc.merchant_short_id) AND (dow = (date_part('dow'::text, timezone((merc.timezone)::text, now())))::integer))
  • Filter: (shift_range @> timerange((timezone((merc.timezone)::text, now()))::time without time zone, (timezone((merc.timezone)::text, now()))::time without time zone, '[]'::text))
  • Rows Removed by Filter: 0
  • Heap Fetches: 326
22. 1.692 1.692 ↑ 1.0 1 282

Function Scan on round d (cost=0.26..0.36 rows=1 width=32) (actual time=0.006..0.006 rows=1 loops=282)

23. 1.656 98.808 ↓ 3.0 3 276

Bitmap Heap Scan on catalog_items catalog_item (cost=44.00..46.18 rows=1 width=724) (actual time=0.354..0.358 rows=3 loops=276)

  • Recheck Cond: ((merchant_short_id = t2.merchant_short_id) AND (fts @@@ q.tsquery))
  • Filter: (((range_of_times IS NULL) OR ((timezone((t2.timezone)::text, to_timestamp((trunc((date_part('epoch'::text, now()) / '900'::double precision)) * '900'::double precision))))::time without time zone = ANY (range_of_times))) AND (date_part('dow'::text, now()) = ANY ((COALESCE(days, '{0,1,2,3,4,5,6}'::integer[]))::double precision[])))
  • Rows Removed by Filter: 0
  • Heap Blocks: exact=637
24. 97.152 97.152 ↓ 3.0 3 276

Bitmap Index Scan on catalog_items_merchant_short_id_fts_idx (cost=0.00..44.00 rows=1 width=0) (actual time=0.352..0.352 rows=3 loops=276)

  • Index Cond: ((merchant_short_id = t2.merchant_short_id) AND (fts @@@ q.tsquery))